2019 Forum on Artificial Intelligence S3

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Graduate major in Artificial Intelligence
Takinoue Masahiro  Chang Shuang  Gutmann Gregory  Uto Kuniaki  Ohue Masahito  Ora Hiroki  Kobayashi Norimasa  Komiya Ken  Nishikawa Hitoshi 
Class Format
Media-enhanced courses
Day/Period(Room No.)
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

This course teaches methods for planning, execution, and presentation of research in computing as well as skills for science communication and career development. Students should acquire methodologies for setting research goals, planning and conducting research, and evaluation through the presentation of their work and class discussion. Also, the students will learn writing skills of research proposals and research papers. This lecture will also foster interdisciplinary and English communication ability through discussions across different research fields, and inter-cultural experience with international students. Through interaction with different disciplines and cultures, the lecture provides students with occasions to think of the impact of their research contribution to the society and to consider their future career. This course aims to make students acquired research methodology, presentation skill, communication skill in English, which doctoral program students must have until their obtaining the degree.

Student learning outcomes

At the end of this course, students acquire the skills to
1) to plan and conduct research,
2) to present research results through oral presentation and paper writing,
3) to have a scientific discussion with interdisciplinary and international peers in English and
4) to consider their future career.


Research planning, research execution, research presentation, research discussion, English communication

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Attending the class is mandatory. Students are required to prepare for the presentation of their research, as the class consists of presentations and discussions. The class is scheduled every other week on Wednesday at the 5-8 slots.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction to the course Specified in the class
Class 2 Planning research Specified in the class
Class 3 Conducting research Specified in the class
Class 4 Research presentation (1) Specified in the class
Class 5 Research presentation (2) Specified in the class
Class 6 Discussion technique for research Specified in the class
Class 7 Science communication Specified in the class
Class 8 Career development in computing Specified in the class



Reference books, course materials, etc.

We might deliver handouts in the class.

Assessment criteria and methods

The student grade is assessed based on their contribution to the class. The evaluation is explained in the first class.

Related courses

  • ART.U682 : Forum on Artificial Intelligence F3
  • ART.U683 : Forum on Artificial Intelligence S4
  • ART.U684 : Forum on Artificial Intelligence F4
  • ART.U685 : Forum on Artificial Intelligence S5
  • ART.U686 : Forum on Artificial Intelligence F5

Prerequisites (i.e., required knowledge, skills, courses, etc.)



If you were absent from the orientation of this class, please be sure to register your information by following the website (available only in campus) below:

Page Top